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It is the missing layer between the vendor's pitch and the board's accountability. What an LLM actually is, what it cannot do by design, and what the enterprise must become to use it without harming itself..

This week's article: Perception, Design, Execution: The Architecture of the AI-Native Enterprise
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The Demand Economy

My second AI wave. The first one froze.

My second AI wave. The first one froze. The killer had two hands. The first was the rule bottleneck. The second was worse: the answers never added up to a world. Each rule worked only in its own context, and even a narrow domain needed a practically endless supply of questions. That's the real difference this time. The machine learns patterns from everything we've written. It arrives with a world, imperfect but present, instead of demanding one rule at a time.

2 days ago2 min read

The algorithmic monoculture – new old AI risk

The third systemic risk of the agent era, and the one almost nobody is pricing in: coupling. When competing firms deploy agents trained on similar data, with similar objectives, the market doesn't diversify. It synchronises.

3 days ago2 min read

Waves, not tides

The question your enterprise was built to answer is dead. The winning strategy is no longer "build and scale". It's "sense and respond".

Jul 292 min read

Why demand arrives in waves and what the new economics asks of the firm.

The AI-Native Enterprise

For AI Native Enterprise the sequence is the architecture

For AI Native Enterprise the sequence is the architecture. The AI-Native enterprise is three layers; each is defined by the question it answers. Perception asks: what is happening out there, and does it actually matter to our business? Design asks: how should we operate to meet it? Execution asks: how do we build and run this within the rules Design just set? If you build them out of order, then each failure is predictable.

14 hours ago2 min read

The spiral trip of AI Integration

The AI rehiring wave isn't a return to the old position. It's worse: the same efficiency on a higher cost base, thinner reserves, and the original pressure grown, not gone.

7 days ago2 min read

RAG is a governance programme, not just a solution

Jul 282 min read

New architecture, operating model, roles, and division of labour.

LLMs and AI agents: new actors, how they fail and new governance.

The Engine and the Agents

AI Agents have no damping, but they must have one.

AI Agents have no damping, but they must have one. The damping must be engineered in deliberately, and deciding precisely where the absorbing human belongs is an architecture decision, not a staffing one.

Jul 272 min read

An LLM answers. An agent acts.

An LLM is a timeless function. An AI agent is an actor with consequences. The actor that runs in your enterprise hour after hour was assessed by nobody, because no methodology on your risk register knows it exists.

Jul 202 min read

Two camps, one mistake

AI agents are not employees; they are a different kind of participant with special requirements and risks.